A LOT!

 

My colleague, Brian Bostwick, and I have been asking ourselves this question: how much data science and advanced analytics is being done in the PI community? As a measure we decided to look at the activities at the upcoming PI World in San Francisco. And the result was overwhelming! So much so that we started crafting a list to build a mental map of what's happening between the PI System on one side and Data Science and Advanced Analytics on the other. It turns out the manufacturing world is very much up to speed already. What we found was that leveraging data science in manufacturing is quite ubiquitous and wide-spread across multiple industries such as Oil and Gas, Power and Utilities, Forest and Paper, Industrial IT, Life Sciences, Water, and Metals and Mining.

 

Another observation is that there is quite a bit of low hanging fruit; i.e., implementing simpler methods, such as linear regression or decision trees, can yield huge improvements to the bottom line. Simpler and better explained algorithms carry other benefits such as easier reproducibility of the process. We also learned that many users do feature-engineering within the PI System right where the time series data lives. This architecture gives them an edge because they can scale the process nicely, avoid moving data unnecessarily or creating new silos.

 

Anyway, we got so encouraged that we decided to share the outcome with the whole community. The list includes offerings by customers, partners, and OSIsoft employees. You can find great industrial use cases (earlier days in the week) as well as learning opportunities in the form of talks and hands-on labs (later days in the week). Hope it can help you navigate the plethora of activities at PI World. More details can be found on the official event website. Please note that in case you notice a discrepancy between the agenda here and the public event website the latter should be taken as the final authority.

 

Day 1 - Tuesday, Apr 24:

  • Enterprise Infrastructure:
    • 3:15-3:45 - How eBay is implementing a “Cockpit” view of its Data Centers – Jeff Tepfer, Remi Duquette
  • Industrial Analytics
    • 2:30 - 3:00 - Icing Prediction Using Forecast Data - Antoine Amosse
    • 3:15 - 3:45 - Correlating Photovoltaic Power with Irradiance using Pre-Packaged Machine Learning - EDP
    • 4:15 - 4:45 - Advanced Analytics and Diagnostics for Fleet-Wide Remote Monitoring – Beatriz Blanco
    • 5:00 - 5:30 - SIO.Perform Stream@Air Liquide: How OSIsoft PI with Analytics Improve ROI – Yukito Chiba, Olivier Rioux, Andrea Roy

 

Day 2 - Wednesday, Apr 25:

  • Oil and Gas
    • 11:45 - 12:30 - Enabling a Business Transformation Journey at Apache Corp with the PI System as a Strategic OT Infrastructure and Analytics Platform – Kelly Sherrill
    • 3:15 - 4:00 - The Evolution of PI System at EQT – Oscar Smith, Brian Morel
  • Forest and Paper
    • 9:45 - 10:30 - PI System and BI, Essential Tools for Productivity in the Paper Industry – Rick Smith, Jim Gavigan
    • 2:30 - 3:00 - Digital Transformation Initiatives for Power Generation – Javier Martinez Sanchez
    • 3:15 - 4:00 - Feeding the Machine Learning Monster - Rick Smith
  • Industrial IT
    • 11:45 - 12:30 - Industrial analytics transforms CP Kelco to face the future - CP Kelco to expand the use of OSIsoft - Norman Ridgley
  • Food and Beverage, Life Sciences
    • 9:00 - 9:30 - Benefits from Continuous Contextualization of OSIsoft PI Data - James Li
    • 11:45 - 12:30 - A Case Study in Biopharmaceutical Data Analytics: Using Asset Framework and Event Frames for MVDA – Will Penland, Chris McCready
    • 3:15 - 4:00 - Digital Transformation in Pharma using SmartFactory Rx Application Platform and the PI System – Deshawn Jordan, Ashley Howard
    • 4:00 - 4:45 - Brewing Beer the Smart Way – Kyle Kotaich
  • Facilities
    • 4:00 - 4:45 - Modernizing DCIM through Visualization and Real-Time Monitoring – Shawn Tugwell, Chris Wozniak, Travis Budisalovich
  • Power Gen
    • 10:45 - 11:30 - Optimizing Predictive Maintenance by Integrating Vibration Data and Process Data – Paul (Chet) Manchester , Arun Santhebennur
  • Mining/Metals/Materials
    • 9:45 - 10:30 - Leveraging the PI System to Advance Digital Environmental Stewardship at Barrick Gold
    • 3:15 - 4:00 - A Trip through Wonderland – Jolene Baker, James Bronstein
  • Supply Chain/Transportation
    • 3:15 - 4:00 - Integrating PI System into a Reliability Program for Industrial Applications – Kevin Knill, Adamantios Mettas

 

Day 3 - Thursday, Apr 26:

  • Talks
    • 10:30-11:15 - Hilton: Introduction to Time-Series Analysis with PI System and R
    • 11:30-12:15 - Parc 55: Advanced Analytics for PI System data for Data Scientists
    • 11:30-12:15 - Hilton: Advances in PI System Streaming Analytics with MATLAB
    • 2:30-3:15 - Hilton: PI System Analytics, Fit for Purpose
    • 2:30-3:15 - Parc 55: Introduction to Data Science for PI System Data for PI Professionals
    • 2:30-4:15 - Parc 55: Streaming calculation with the PI System and MATLAB
    • 3:30-4:15 - Parc 55: Why a Data Lake Alone can’t Replace Your PI System?
    • 3:30-4:15 - Hilton: Using OSIsoft Cloud Service to Fuel Cognitive Computing and Machine Learning Services

 

  • Labs
    • 10:30-12:30 - Hilton: Learn How to Add Automated Machine Learning to the PI System Quickly and Easily (Sponsored by Falkonry)
    • 1:30-4:30 - Hilton: Apply Predictive Machine Learning Models to Operations
    • 1:30-4:30 - Hilton: A Digital Plant Template for operational Insights - An Enterprise Strategy
    • 1:30-4:30 - Parc 55: Advanced Analytics for PI data for Data Scientists

 

Day 4 - Friday, Apr 27:

  • Labs
    • 9:00-12:00 - Hilton: Fit for Purpose - Layers of Analytics using the PI System – AF, Matlab, Machine Learning
    • 9:00-12:00 - Parc 55: Introduction to Data Science for PI Data for PI Professionals